Triple

T11529066
Position Surface form Disambiguated ID Type / Status
Subject Sibiu County E273370 entity
Predicate hasTown P847 FINISHED
Object Agnita
Agnita is a small town in central Romania known for its medieval fortified church and traditional Transylvanian heritage.
E932001 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Agnita | Statement: [Sibiu County, hasTown, Agnita]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Agnita
Context triple: [Sibiu County, hasTown, Agnita]
  • A. Agnontas
    Agnontas is a small coastal village and port on the Greek island of Skopelos, known for its scenic bay and seaside tavernas.
  • B. Agnanta
    Agnanta is a traditional mountain village in the Tzoumerka region of Epirus in northwestern Greece, known for its natural beauty and stone-built architecture.
  • C. Agaja
    Agaja was an 18th-century king of the Kingdom of Dahomey in West Africa, known for expanding the kingdom’s power and centralizing its political and military structures.
  • D. Matareya
    Matareya is a district in northeastern Cairo, Egypt, known for its ancient Heliopolis archaeological remains and historic religious sites.
  • E. Shivta
    Shivta is an ancient Nabatean and Byzantine desert city in Israel, known for its remarkably well-preserved ruins and role along historic trade routes.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Agnita
Triple: [Sibiu County, hasTown, Agnita]
Generated description
Agnita is a small town in central Romania known for its medieval fortified church and traditional Transylvanian heritage.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Agnita
Target entity description: Agnita is a small town in central Romania known for its medieval fortified church and traditional Transylvanian heritage.
  • A. Agnontas
    Agnontas is a small coastal village and port on the Greek island of Skopelos, known for its scenic bay and seaside tavernas.
  • B. Agnanta
    Agnanta is a traditional mountain village in the Tzoumerka region of Epirus in northwestern Greece, known for its natural beauty and stone-built architecture.
  • C. Agaja
    Agaja was an 18th-century king of the Kingdom of Dahomey in West Africa, known for expanding the kingdom’s power and centralizing its political and military structures.
  • D. Matareya
    Matareya is a district in northeastern Cairo, Egypt, known for its ancient Heliopolis archaeological remains and historic religious sites.
  • E. Shivta
    Shivta is an ancient Nabatean and Byzantine desert city in Israel, known for its remarkably well-preserved ruins and role along historic trade routes.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d6aae3fbec8190a14632a5df2538b6 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d883972b10819093bd09cf8406671c completed April 10, 2026, 4:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69e6855270b08190bdb175a8dede176e completed April 20, 2026, 7:58 p.m.
NEDg Description generation batch_69e68fd6b6088190b24f552b5afc3f55 completed April 20, 2026, 8:43 p.m.
NED2 Entity disambiguation (via description) batch_69e6b7d683448190b7557bffd92b3ad6 completed April 20, 2026, 11:33 p.m.
Created at: April 8, 2026, 9:37 p.m.